Published in EPJ Web of Conferences
The aim of the NA62 experiment is to study the extreme rare kaon decay K+ ? π+vv and to measure its branching ratio with a 10% accuracy. In order to do so, a very high intensity beam from the CERN SPS is used to produce charged kaons whose decay products are detected by many detectors installed along a 60 m decay region. The NA62 Data Acquisition s...
Published in EPJ Web of Conferences
Initial studies have suggested generative adversarial networks (GANs) have promise as fast simulations within HEP. These studies, while promising, have been insufficiently precise and also, like GANs in general, suffer from stability issues.We apply GANs to to generate full particle physics events (not individual physics objects), explore condition...
Published in EPJ Web of Conferences
The Toolkit for Multivariate Analysis, TMVA, the machine learning package integrated into the ROOT data analysis framework, has recently seen improvements to its deep learning module, parallelisation of multivariate methods and cross validation. Performance benchmarks on datasets from high-energy physics are presented with a particular focus on the...
Published in EPJ Web of Conferences
ATLAS is one of the four experiments collecting data from the proton-proton collisions at the Large Hadron Collider. The offline processing and storage of the data is handled by a custom heterogenous distributed computing system. This paper summarizes some of the challenges and operations-driven solutions introduced in the system.
Published in EPJ Web of Conferences
PanDA (Production and Distributed Analysis) is the workload management system for ATLAS across the Worldwide LHC Computing Grid. While analysis tasks are submitted to PanDA by over a thousand users following personal schedules (e.g. PhD or conference deadlines), production campaigns are scheduled by a central Physics Coordination group based on the...
Published in EPJ Web of Conferences
The ATLAS Distributed Computing system uses the Frontier system to access the Conditions, Trigger, and Geometry database data stored in the Oracle Offline Database at CERN by means of the HTTP protocol. All ATLAS computing sites use Squid web proxies to cache the data, greatly reducing the load on the Frontier servers and the databases. One feature...
Published in EPJ Web of Conferences
IceCube is a cubic kilometer neutrino detector located at the south pole. Metadata for files in IceCube have traditionally been handled on an application by application basis, with no user-facing access. There has been no unified view of data files, and users often query the filesystem to locate files. Recently effort has been put into creating a u...
Published in EPJ Web of Conferences
One of the most important problems of data processing in high energy and nuclear physics is the event reconstruction. Its main part is the track reconstruction procedure which consists in looking for all tracks that elementary particles leave when they pass through a detector among a huge number of points, so-called hits, produced when flying parti...
Published in EPJ Web of Conferences
This paper reviews the prototype dataset accounting developed during the EGI-Engage project and how it could be used to complement the view that the WLCG has of its datasets. This is a new feature of the EGI resource accounting system that will enable storing information on dataset usage such as who has accessed a dataset and how often. The new RES...
Published in EPJ Web of Conferences
SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and relying on the compiler. Since the refactoring effort scales with the number of lines of code, it is important t...
